The neurolib paper is out! π
"neurolib: A Simulation Framework for Whole-Brain Neural Mass Modeling" by @caglorithm, @jajcayn, and Obermayer. Published in Computational Cognition.
GitHub: https://t.co/RE90ecZlJR
https://t.co/DFVr2lzOF4
Join the virtual neurolib tutorial at the CNS*2022 satellite workshops tomorrow!
Start: 13:30 UTC
Registration is for free. More information:
https://t.co/WjzxaOMgnU
Don't forget to register for a short 1.5 hrs neurolib tutorial at the CNS*2022 satellite workshops!
Date: Monday, 27.06.2022
Time: 13:30 - 15:00 UTC (15:30 - 17:00 CET)
You can find information about the tutorial here: https://t.co/WjzxaOMgnU
Registrations for the @INCForg@CNSorg free online satellite tutorials from June 27--July 1 are now open!
Please see https://t.co/AdSDY4DTlL
for more information on the schedule, and the link to the registration form. 1/
@LeonardoTozzi1@pythoneuro @caglorithm @jajcayn@ThePSF In short: it's around 20x faster and has evolutionary optimization and model exploration built-in, but has no GUI.
You can have a look at our paper for a more detailed comparison π https://t.co/e3HWsY7bmJ
@RyanMarsNeuro @pythoneuro @caglorithm @jajcayn@ThePSF Most whole-brain models are limited to the cortex but we're currently working on incorporating a thalamocortical and a hippocampal model as well!
neurolib is a simulation and optimization framework for whole-brain modeling. It allows you to implement your own neural mass models which can simulate fMRI BOLD activity.
https://t.co/bUHPiTmMys
@neurolib_dev @caglorithm @jajcayn@ThePSF#Python#neuroscience#OpenScience
π We are celebrating a new release of neurolib v0.6!
* π Heterogeneous modeling with MultiModel: combine Thalamus, Cortex, and Hippocampus into one π
* β‘οΈ Zapping brains with the new Stimulus class: do not try this at home.
* π Many small fixes
π
https://t.co/Sh0vUCCSau
Version 0.6 of neurolib with a pretty big upgrade will be released very soon! Here is a small sneak peak and two obscure-sounding words:
Heterogeneous Modeling π
Just merged another PR contribution! Thanks to @ValeriiChirkov for speeding up the Kuramoto order parameter calculation by a factor of 100x using @numba_jit!
Some awesome software by @caglorithm, @jajcayn, @ChristophMetzn1, and @FabianKamp.
Thanks for keeping the neuro world open source =)
https://t.co/goe9W3umlM